147 search results - page 1 / 30 » Agnostic Learning with Ensembles of Classifiers |
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
We state and analyze the first active learning algorithm which works in the presence of arbitrary forms of noise. The algorithm, A2 (for Agnostic Active), relies only upon the ass...
IEEECIT
2007
IEEE
13 years 11 months ago
2007
IEEE
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
ICTAI
2010
IEEE
13 years 2 months ago
2010
IEEE
Ensemble pruning is concerned with the reduction of the size of an ensemble prior to its combination. Its purpose is to reduce the space and time complexity of the ensemble and/or ...
CHI
2009
ACM
14 years 5 months ago
2009
ACM
Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...